Case Study: The Adecco Group achieves 37% fewer CVs to review and 10% recruiter productivity gain with DataRobot

Using Explainable AI to Revolutionize the Recruitment Industry and Candidate Experience

The Adecco Group, a global talent advisory and solutions company, faced costly inefficiencies in its largely manual recruitment流程—recruiters had to sift through roughly a million candidate CVs per year without parsed data or scalable tooling. To speed time-to-fill, improve candidate matching, and make model outputs interpretable, The Adecco Group engaged DataRobot to bring MLOps, automated modeling, and explainable AI into their recruiting pipeline.

DataRobot helped industrialize The Adecco Group’s data and automate model development and deployment, launching 60 projects and more than 3,000 models in three weeks. The work produced measurable gains: 3x increased productivity for data scientists, a 37% reduction in CVs needing review, and a 10% productivity boost for recruiters, while delivering interpretability insights (e.g., CV length and typos as predictive factors) and enabling future Ethical AI and bias-mitigation use cases with DataRobot.

The Adecco Group

Rachik Laouar

Head of Data Science